Determinants of FPI in Developed and Developing Countries

2017 ◽  
Vol 19 (1) ◽  
pp. 187-213 ◽  
Author(s):  
Monica Singhania ◽  
Neha Saini
Keyword(s):  
Developing Countries ◽  
Interest Rate ◽  
Stock Market ◽  
Host Country ◽  
Developing Economies ◽  
Trade Openness ◽  
Market Performance ◽  
Market Returns ◽  
Stock Market Returns ◽  
Stock Market Performance

The pattern of capital inflows in developed and developing economies are different because of dissimilar economic and political structures. From the point of view of host country, especially the developing countries, portfolio flows are considered to play a pivotal role in bridging the saving investment gap and providing foreign exchange to finance current account deficit. While the investors of developed country invest in portfolios of different countries to diversify the risk and earn more returns, foreign portfolio investors generally go for short-term investment to reap the benefits of good economic conditions and they tend to withdraw their investments during the period of recession. This article identifies the determinants of foreign portfolio investment (FPI) in developed and developing economies. Though the movement of capital among different countries is researched in depth by existing literature, the present study adds to literature by identifying the institutional factor involving freedom index. The institutional factors aid in identifying the determinants of FPI among select developed and developing countries. This study seeks to answer, where the funds of foreign portfolio investors are headed. And also the reasons of attractiveness for FPI among different sets of countries. The sample of the study is limited to a set of 19 developed and developing counties for the period of 10 years (2004–2013). We study the determinants of FPI for a group of developed and developing countries using fixed and random effects. Additionally, we use panel generalized method of moments (GMM) suggested by Arellano and Bond (1991, The Review of Economic Studies, 58(2), 277–297). This methodology is suitable to remove the problem of endogeneity which static model is not able to capture. The results of model also incorporates persistence effect considering lagged value of dependent variable. The study empirically tests the various factors that determine the inflows of FPI and analyses their performance during different stages of the economic cycle in the last 10 years. Implicitly, in case of developed countries, it was observed that interest rate differential, trade openness, host country stock market performance and US stock market returns are significant trendsetter, while in developing countries, freedom index, interest rate differential, host country stock market performance, trade openness, US stock market returns and crisis period (2006–2008) significantly influence the inflow of FPIs. Dynamic model supports that as a group of 19 countries, portfolio investments are significantly influenced by interest rate differentials, freedom index, US stock market and host country stock market returns.

Effects of the COVID-19 pandemic on stock market returns and volatilities: evidence from selected emerging economies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bijoy Rakshit ◽  
Yadawananda Neog
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Emerging Economies ◽  
Market Performance ◽  
Exchange Rate Volatility ◽  
Oil Price ◽  
Market Returns ◽  
Stock Market Returns ◽  
Content Type ◽  
Stock Market Performance

Purpose The purpose of this paper is to investigate the effects of exchange rate volatility, oil price return and COVID-19 cases on the stock market returns and volatility for selected emerging market economies. Additionally, this study compares the market performance in the emerging economies during the COVID-19 pandemic with the pre-COVID and global financial crisis (GFC) period. Design/methodology/approach The authors apply the arbitrage pricing theory to model the risk-return relationship between the risk-based factors (exchange rate volatility and COVID-19 cases) and stock market returns. By applying the exponential generalized autoregressive conditional heteroskedasticity model, the study captures the asymmetric volatility spillover from the stock markets to foreign exchange markets and vice versa. Findings Findings reveal that exchange rate volatility exerts a negative and significant effect on the market returns in Brazil (BOVESPA), Chile (S&P CLX IPSA), India (SENSEX), Mexico (S&P BMV IPC) and Russia (MOEX) during the coronavirus pandemic. Regarding the effect of oil price returns, the authors find a positive relationship between oil price and stock market returns across all the economies in the study. The market returns of Russia, India, Brazil and Peru appeared more volatile during the pandemic than the GFC period. Practical implications As the exchange rate volatility is causing higher risk and uncertainty in the stock market’s performance, the central bank’s effort to maintain a stabilizing effect on the exchange rate sale can be proven crucial for the economies under consideration. Emphasized should also be given to boost investors’ confidence in the stock market, and for this, the government policy actions in reducing the transmission of the disease are the need of the hour. Originality/value While a large volume of literature on stock market performance in times of COVID-19 has emerged from developed economies, this study adds to the literature by exploring the emerging economies’ stock market performance during the COVID-19 pandemic. Unlike previous literature, this study examines the volatility spillover between stock and exchange rate markets in the worst affected emerging economies during the crisis.

scholarly journals Social and Economic Drivers of Stock Market Performance in Nigeria

2021 ◽  
Vol 3 (3) ◽  
pp. 137-143
Author(s):  
Ismaila Akanni Yusuf ◽  
Mohammed Bashir Salaudeen ◽  
Hope Agbonrofo
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Life Expectancy ◽  
Stock Market ◽  
Positive Impact ◽  
Market Performance ◽  
Secondary Data ◽  
Ordinary Least Squares ◽  
Stock Performance ◽  
Stock Market Performance

The study examines the effect of the social and economic indicators on the stock market performance in Nigeria between 1981 and 2019. The study employs secondary data from the World Bank and Central Bank of Nigeria using the ordinary least squares as the technique of estimation. Findings show that regarding the economic drivers, interest rate, exchange rate, and inflation rate negatively impact the stock market while only income exerts a positive impact. However, both income and interest rate are significant economic drivers of stock performance. Regarding social drivers, life expectancy, poverty, and population exert a positive impact on stock performance. Similarly, both life expectancy and population are significant social drivers of stock market performance in Nigeria. The study recommends that monetary authorities should be cautious in avoiding discretionary policies that might hike the exchange rate; otherwise, the flow of funds to the stock market will be derailed. Also, the fiscal authority should invest massively in safety nets programmes to enhance the capacity of the growing population and reduce poverty.

Stock Market Responses to Monetary and Fiscal Policies

2022 ◽  
pp. 266-282
Author(s):  
Elif Erer ◽  
Deniz Erer
Keyword(s):  
Stock Market ◽  
Fiscal Policies ◽  
Market Returns ◽  
Monetary Policies ◽  
Stock Market Returns ◽  
Long Run ◽  
Stock Market Performance ◽  
Short Run ◽  
Effect Hypothesis ◽  
Positive Effect

This study analyzes the short-run and long-run effects of interaction between fiscal and monetary policies on stock market performance in four emerging Asian economies, which are China, India, Indonesia, and Malaysia, by using ARDL model. The study covers the period of 2003:Q1-2020:Q1. The findings from this study show monetary and fiscal policies play an important role in determining stock market returns. Also, the results theoretically support Richardian neutrality hypothesis for China and Indonesia, Keynesian positive effect hypothesis for India, and classical crowding out effect hypothesis for Malaysia, and interest channel of monetary transmission mechanism only for China.

scholarly journals Effects of Interest Rate on Stock Market Returns in Kenya

2017 ◽  
Vol 9 (8) ◽  
pp. 40
Author(s):  
Donald A. Otieno ◽  
Rose W. Ngugi ◽  
Nelson H. W. Wawire
Keyword(s):  
Interest Rate ◽  
Stock Market ◽  
Granger Causality ◽  
Moving Average ◽  
Market Returns ◽  
Treasury Bills ◽  
Stock Market Returns ◽  
Long Run ◽  
Lending Rate ◽  
Short Run

Debate on the stochastic behaviour of stock market returns, 3-month Treasury Bills rate, lending rate and their cointegrating residuals remains unsettled. This study examines the stochastic properties of the macroeconomic variables, stock market returns and their cointegrating residuals using an Autoregressive Fractionally Integrated Moving Average (ARFIMA) model. It also investigates Granger causality between the two measures of interest rate and stock market returns. The study uses monthly data from 1st January 1993 to 31st December 2015. The results indicate that the 3-month Treasury Bills rate, lending rate and stock market returns are fractionally integrated which implies that shocks to the variables persist but eventually disappear. The results also reveal that the cointegrating residuals are fractionally integrated which suggests that a new and harmful long-run equilibrium might be established when each of the measures of interest rate is driven away from stock market returns. Additionally, the results indicate that the 3-month Treasury Bills rate and lending rate negatively Granger cause stock market returns in the long run. This suggests that stocks and Treasury Bills are competing investment assets. On the other hand, ARFIMA-based Granger causality reveals that stock market returns lead the 3-month Treasury Bills rate and lending rate with a negative sign in the short run. This implies that a prosperous stock market results into a favorable macroeconomic environment. A key contribution of this study is that it is the first to empirically examine fractional cointegration and ARFIMA-based Granger Causality between interest rate and stock market returns in Kenya.

scholarly journals US Economic Policy Uncertainty and GCC Stock Market Performance

2020 ◽  
Vol 15 (1) ◽  
pp. 223-242
Author(s):  
Saeed Abdullah
Keyword(s):  
Economic Policy ◽  
Saudi Arabia ◽  
Stock Market ◽  
Policy Uncertainty ◽  
Market Returns ◽  
Stock Market Returns ◽  
Economic Policy Uncertainty ◽  
Gcc Countries ◽  
Stock Market Performance ◽  
Economy Policy

AbstractThe study evaluates the effect of economy policy uncertainty of US on gulf cooperation council (GCC) countries’ stock market returns. The GCC countries are Saudi Arabia, Qatar, UAE, Kuwait, Bahrain and Oman. Granger Causality Tests (GCT) was done primarily to evaluate if economy policy uncertainty granger cause on GCC stock market returns. The analysis established that oil prices granger cause stock market returns for Saudi Arabia, Kuwait and UAE; the same is not true on changes in economic policy uncertainty of US cause on the stock market returns. Changes in economy policy uncertainty in US granger causes on stock market returns of Bahrain. On the other hand, economy policy uncertainty in US does not cause stock market returns in Qatar, UAE, Kuwait and Saudi Arabia. Vector Autoregression (VAR) analysis establishes that economy policy uncertainty in US negatively responds to the stock market returns of the GCC countries.

scholarly journals The Effects of COVID-19 Pandemic on Stock Market Performance in Africa

2021 ◽  
Author(s):  
Isiaka Akande Raifu
Keyword(s):  
Stock Market ◽  
Least Squares ◽  
Ordinary Least Squares ◽  
Estimation Methods ◽  
Negative Effects ◽  
Market Returns ◽  
African Countries ◽  
Daily Growth ◽  
Stock Market Returns ◽  
Stock Market Performance

Abstract This study is conducted to investigate the response of stock market returns to daily growth in COVID-19 confirmed cases and deaths in 14 African countries using both time series and panel approaches. The study employs three estimation methods, Ordinary Least Squares/Robust Ordinary Least Squares (OLS/ORLS), Pooled Ordinary Least Squares (POLS) and Panel Vector Autoregressive (PVAR). While the OLS and POLS are used to examine a conditional mean effect of COVID-19 confirmed cases and deaths on stock market returns PVAR is used to estimate and trace the response of stock market return to shocks from daily growth in COVID-19 confirmed cases and deaths. OLS results show that stock market returns react negatively and significantly to daily growth in COVID-19 confirmed cases in countries like Botswana, Kenya, Tanzania, Tunisia and Uganda while the negative effects of daily growth in COVID-19 confirmed deaths on stock market returns are negligible. Evidence from POLS reveals that the impacts of an increase in COVID-19 confirmed cases and deaths are insignificant. This is corroborated by the results of FEVD. IRF results show that stock market returns react positively to COVID-19 confirmed cases and deaths shocks before declining and returning towards normal returns in the long-run. Our findings underscore the importance of analysing individual country’s socioeconomic reaction to COVID-19 pandemic instead of pooling countries together.JEL Classification: I12, G1

scholarly journals Evaluation of the Impact of Macroeconomic Variables on Stock Market Performance in Nigeria

2019 ◽  
Vol 5 (2) ◽  
pp. 34 ◽  
Author(s):  
Cordelia Onyinyechi Omodero ◽  
Sunday Mlanga
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Stock Market ◽  
Price Index ◽  
Market Performance ◽  
Share Price ◽  
Series Data ◽  
Macroeconomic Variables ◽  
Stock Market Performance ◽  
The Impact

Stock market is an essential part of a nation’s economy and requires adequate evaluation of all factors that militate against its performance. This study investigates the role of macroeconomic variables in determining the stock market performance in Nigeria using annual time series data covering a period from 2009 to 2018. These data have been sourced from the World Bank Development Indicators, International Monetary Fund and CBN Statistical Bulletin. The results from the regression analysis indicate that exchange rate and interest rate do not have significant impact on share price index while inflation rate exerts a significant negative influence on share price index. On the contrary and in line with the concept of GDP and stock market performance, GDP significantly and positively impacts on share price index. The study among others suggests that the growth of the economy should be maintained to keep stock market flourishing while macroeconomic variables such as inflation, interest rate and exchange rate should be appropriately regulated by the relevant authorities to curtail all negative influences on stock market performance.

The Impact of US Economic Policy Uncertainty Shock on GCC Stock Market Performance

2019 ◽  
Vol 10 (2) ◽  
Author(s):  
Abdullah Alqahtani ◽  
Michael Taillard
Keyword(s):  
Stock Market ◽  
Granger Causality ◽  
The United States ◽  
Policy Uncertainty ◽  
Market Returns ◽  
Stock Market Returns ◽  
Gcc Countries ◽  
Stock Market Performance ◽  
Oil Markets ◽  
The Impact

Abstract This study examines the impact of the United States’ Economy Policy Uncertainty (US EPU) shocks on the Gulf Cooperation Council (GCC) countries’ stock market returns which are heavily related through global oil markets. Using monthly data spanning from 31/01/2010 to 31/08/2018, we employ a Non-Structural Vector Autoregression (VAR) and Vector Granger Causality Tests (VGCT) in order to ascertain the magnitude of transmitted shocks and to primarily evaluate if US EPU affects stock market returns in any of the GCC countries. Our OLS and VAR results suggest that US EPU has little impact on the GCC markets with the exception of Bahrain. The Vector Granger Causality Test confirms that changes in US EPU influence returns on Qatar’s stock market. These results will help GCC nations to stabilize global energy markets and prevent economic ripples to policy shocks.

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